{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Softmax Linear Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "import random\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from __future__ import print_function\n",
    "\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (12.0, 10.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# for auto-reloading extenrnal modules\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CIFAR-10 Data Loading and Preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 定义数据导入函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from __future__ import print_function\n",
    "\n",
    "from six.moves import cPickle as pickle\n",
    "import numpy as np\n",
    "import os\n",
    "from scipy.misc import imread\n",
    "import platform\n",
    "\n",
    "def load_pickle(f):\n",
    "    version = platform.python_version_tuple()\n",
    "    if version[0] == '2':\n",
    "        return  pickle.load(f)\n",
    "    elif version[0] == '3':\n",
    "        return  pickle.load(f, encoding='latin1')\n",
    "    raise ValueError(\"invalid python version: {}\".format(version))\n",
    "\n",
    "def load_CIFAR_batch(filename):\n",
    "    \"\"\" load single batch of cifar \"\"\"\n",
    "    with open(filename, 'rb') as f:\n",
    "        datadict = load_pickle(f)\n",
    "        X = datadict['data']\n",
    "        Y = datadict['labels']\n",
    "        X = X.reshape(10000, 3, 32, 32).transpose(0,2,3,1).astype(\"float\")\n",
    "        Y = np.array(Y)\n",
    "        return X, Y\n",
    "\n",
    "def load_CIFAR10(ROOT):\n",
    "    \"\"\" load all of cifar \"\"\"\n",
    "    xs = []\n",
    "    ys = []\n",
    "    for b in range(1,6):\n",
    "        f = os.path.join(ROOT, 'data_batch_%d' % (b, ))\n",
    "        X, Y = load_CIFAR_batch(f)\n",
    "        xs.append(X)\n",
    "        ys.append(Y)    \n",
    "    Xtr = np.concatenate(xs)\n",
    "    Ytr = np.concatenate(ys)\n",
    "    del X, Y\n",
    "    Xte, Yte = load_CIFAR_batch(os.path.join(ROOT, 'test_batch'))\n",
    "    return Xtr, Ytr, Xte, Yte"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 导入数据"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**注意：** CIFAR-10的原始数据已放入云盘：链接：https://pan.baidu.com/s/1iZPwt72j-EpVUbLKgEpYMQ 密码：vy1e"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'data/cifar-10-batches-py'\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ySH2k2uTy8sw80q4iGyHSuSVaSYlwTBDTVBRBzOVIu4oRLSCXEzdohpNVkzKQ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Oj0CiaMoLsFZfwohz7TYT7/oD+czc7ArGZHMaDK1PAzXf7+/LnLm4OAeXYV2V5BRRojKKktJa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\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I99RvOLj8isgSnvuCnP9CVc5196Z89s61CG1W1PvWH4qtpsd7t7LwObS4iF2gFKpEKdQh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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7e06e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 5\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 划分数据为训练集、验证集和测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train data shape:  (49000, 32, 32, 3)\n",
      "Train labels shape:  (49000,)\n",
      "Validation data shape:  (1000, 32, 32, 3)\n",
      "Validation labels shape:  (1000,)\n",
      "Test data shape:  (1000, 32, 32, 3)\n",
      "Test labels shape:  (1000,)\n"
     ]
    }
   ],
   "source": [
    "# Split the data into train, val, and test sets. In addition we will\n",
    "# create a small development set as a subset of the training data;\n",
    "# we can use this for development so our code runs faster.\n",
    "num_training = 49000\n",
    "num_validation = 1000\n",
    "num_test = 1000\n",
    "num_dev = 500\n",
    "\n",
    "# Our validation set will be num_validation points from the original\n",
    "# training set.\n",
    "mask = range(num_training, num_training + num_validation)\n",
    "X_val = X_train[mask]\n",
    "y_val = y_train[mask]\n",
    "\n",
    "# Our training set will be the first num_train points from the original\n",
    "# training set.\n",
    "mask = range(num_training)\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "# We will also make a development set, which is a small subset of\n",
    "# the training set.\n",
    "mask = np.random.choice(num_training, num_dev, replace=False)\n",
    "X_dev = X_train[mask]\n",
    "y_dev = y_train[mask]\n",
    "\n",
    "# We use the first num_test points of the original test set as our\n",
    "# test set.\n",
    "mask = range(num_test)\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "print('Train data shape: ', X_train.shape)\n",
    "print('Train labels shape: ', y_train.shape)\n",
    "print('Validation data shape: ', X_val.shape)\n",
    "print('Validation labels shape: ', y_val.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据预处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (49000, 3072)\n",
      "Validation data shape:  (1000, 3072)\n",
      "Test data shape:  (1000, 3072)\n",
      "dev data shape:  (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Preprocessing: reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_val = np.reshape(X_val, (X_val.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "X_dev = np.reshape(X_dev, (X_dev.shape[0], -1))\n",
    "\n",
    "# As a sanity check, print out the shapes of the data\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Validation data shape: ', X_val.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('dev data shape: ', X_dev.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 130.64189796  135.98173469  132.47391837  130.05569388  135.34804082\n",
      "  131.75402041  130.96055102  136.14328571  132.47636735  131.48467347]\n"
     ]
    },
    {
     "data": {
      "image/png": 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ngY81z/9uRNwp6SLgUWAj8DJwU0T8cvzxWvspxbDm9vIAnZLS4J1iw46tlzgGlL6hn1mi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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7e050f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Preprocessing: subtract the mean image\n",
    "# first: compute the image mean based on the training data\n",
    "mean_image = np.mean(X_train, axis=0)\n",
    "print(mean_image[:10]) # print a few of the elements\n",
    "plt.figure(figsize=(4,4))\n",
    "plt.imshow(mean_image.reshape((32,32,3)).astype('uint8')) # visualize the mean image\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# second: subtract the mean image from train and test data\n",
    "X_train -= mean_image\n",
    "X_val -= mean_image\n",
    "X_test -= mean_image\n",
    "X_dev -= mean_image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(49000, 3073) (1000, 3073) (1000, 3073) (500, 3073)\n"
     ]
    }
   ],
   "source": [
    "# third: append the bias dimension of ones (i.e. bias trick) so that our SVM\n",
    "# only has to worry about optimizing a single weight matrix W.\n",
    "X_train = np.hstack([X_train, np.ones((X_train.shape[0], 1))])\n",
    "X_val = np.hstack([X_val, np.ones((X_val.shape[0], 1))])\n",
    "X_test = np.hstack([X_test, np.ones((X_test.shape[0], 1))])\n",
    "X_dev = np.hstack([X_dev, np.ones((X_dev.shape[0], 1))])\n",
    "\n",
    "print(X_train.shape, X_val.shape, X_test.shape, X_dev.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Softmax线性分类器"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class LinearSoftmax(object):\n",
    "\n",
    "    def __init__(self):\n",
    "        self.W = None\n",
    "    \n",
    "    def loss(self, X, y, reg):\n",
    "        \"\"\"\n",
    "        Softmax loss function, vectorized version.\n",
    "\n",
    "        Inputs and outputs are the same as softmax_loss_naive.\n",
    "        \"\"\"\n",
    "        # Initialize the loss and gradient to zero.\n",
    "        loss = 0.0\n",
    "        dW = np.zeros_like(self.W)\n",
    "\n",
    "        num_train = X.shape[0]\n",
    "        num_classes = self.W.shape[1]\n",
    "        scores = X.dot(self.W)\n",
    "        scores_shift = scores - np.max(scores, axis = 1).reshape(-1,1)\n",
    "        softmax_output = np.exp(scores_shift) / np.sum(np.exp(scores_shift), axis=1).reshape(-1,1)\n",
    "        loss = -np.sum(np.log(softmax_output[range(num_train), list(y)]))\n",
    "        loss /= num_train\n",
    "        loss += 0.5 * reg * np.sum(self.W * self.W)\n",
    "\n",
    "        dS = softmax_output.copy()\n",
    "        dS[range(num_train), list(y)] += -1\n",
    "        dW = (X.T).dot(dS)\n",
    "        dW = dW / num_train + reg * self.W  \n",
    "\n",
    "        return loss, dW\n",
    "\n",
    "    def train(self, X, y, learning_rate=1e-3, reg=1e-5, num_iters=100,\n",
    "            batch_size=200, verbose=False):\n",
    "        \"\"\"\n",
    "        Train this linear classifier using stochastic gradient descent.\n",
    "\n",
    "        Inputs:\n",
    "            - X: A numpy array of shape (N, D) containing training data; there are N\n",
    "              training samples each of dimension D.\n",
    "            - y: A numpy array of shape (N,) containing training labels; y[i] = c\n",
    "              means that X[i] has label 0 <= c < C for C classes.\n",
    "            - learning_rate: (float) learning rate for optimization.\n",
    "            - reg: (float) regularization strength.\n",
    "            - num_iters: (integer) number of steps to take when optimizing\n",
    "            - batch_size: (integer) number of training examples to use at each step.\n",
    "            - verbose: (boolean) If true, print progress during optimization.\n",
    "\n",
    "        Outputs:\n",
    "            A list containing the value of the loss function at each training iteration.\n",
    "        \"\"\"\n",
    "        num_train, dim = X.shape\n",
    "        num_classes = np.max(y) + 1 # assume y takes values 0...K-1 where K is number of classes\n",
    "        if self.W is None:\n",
    "            # lazily initialize W\n",
    "            self.W = 0.001 * np.random.randn(dim, num_classes)\n",
    "\n",
    "        # Run stochastic gradient descent to optimize W\n",
    "        loss_history = []\n",
    "        for it in range(num_iters):\n",
    "            X_batch = None\n",
    "            y_batch = None\n",
    "\n",
    "            idx_batch = np.random.choice(num_train, batch_size, replace = True)\n",
    "            X_batch = X[idx_batch]\n",
    "            y_batch = y[idx_batch]\n",
    "\n",
    "            # evaluate loss and gradient\n",
    "            loss, grad = self.loss(X_batch, y_batch, reg)\n",
    "            loss_history.append(loss)\n",
    "\n",
    "            # perform parameter update\n",
    "            self.W -=  learning_rate * grad\n",
    "\n",
    "            if verbose and it % 100 == 0:\n",
    "                print('iteration %d / %d: loss %f' % (it, num_iters, loss))\n",
    "\n",
    "        return loss_history\n",
    "\n",
    "    def predict(self, X):\n",
    "        \"\"\"\n",
    "        Use the trained weights of this linear classifier to predict labels for\n",
    "        data points.\n",
    "\n",
    "        Inputs:\n",
    "        - X: A numpy array of shape (N, D) containing training data; there are N\n",
    "          training samples each of dimension D.\n",
    "\n",
    "        Returns:\n",
    "        - y_pred: Predicted labels for the data in X. y_pred is a 1-dimensional\n",
    "        array of length N, and each element is an integer giving the predicted\n",
    "        class.\n",
    "        \"\"\"\n",
    "        y_pred = np.zeros(X.shape[0])\n",
    "        scores = X.dot(self.W)\n",
    "        y_pred = np.argmax(scores, axis = 1)\n",
    "        return y_pred"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 交叉验证"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lr 1.400000e-07 reg 8.000000e+03 train accuracy: 0.381224 val accuracy: 0.401000\n",
      "lr 1.400000e-07 reg 9.000000e+03 train accuracy: 0.373735 val accuracy: 0.392000\n",
      "lr 1.400000e-07 reg 1.000000e+04 train accuracy: 0.373429 val accuracy: 0.391000\n",
      "lr 1.400000e-07 reg 1.100000e+04 train accuracy: 0.372612 val accuracy: 0.380000\n",
      "lr 1.400000e-07 reg 1.800000e+04 train accuracy: 0.360714 val accuracy: 0.375000\n",
      "lr 1.400000e-07 reg 1.900000e+04 train accuracy: 0.360694 val accuracy: 0.373000\n",
      "lr 1.400000e-07 reg 2.000000e+04 train accuracy: 0.356857 val accuracy: 0.374000\n",
      "lr 1.400000e-07 reg 2.100000e+04 train accuracy: 0.354061 val accuracy: 0.368000\n",
      "lr 1.500000e-07 reg 8.000000e+03 train accuracy: 0.378898 val accuracy: 0.398000\n",
      "lr 1.500000e-07 reg 9.000000e+03 train accuracy: 0.377102 val accuracy: 0.389000\n",
      "lr 1.500000e-07 reg 1.000000e+04 train accuracy: 0.372469 val accuracy: 0.388000\n",
      "lr 1.500000e-07 reg 1.100000e+04 train accuracy: 0.374041 val accuracy: 0.396000\n",
      "lr 1.500000e-07 reg 1.800000e+04 train accuracy: 0.356735 val accuracy: 0.375000\n",
      "lr 1.500000e-07 reg 1.900000e+04 train accuracy: 0.362510 val accuracy: 0.378000\n",
      "lr 1.500000e-07 reg 2.000000e+04 train accuracy: 0.356122 val accuracy: 0.370000\n",
      "lr 1.500000e-07 reg 2.100000e+04 train accuracy: 0.352857 val accuracy: 0.367000\n",
      "lr 1.600000e-07 reg 8.000000e+03 train accuracy: 0.381878 val accuracy: 0.397000\n",
      "lr 1.600000e-07 reg 9.000000e+03 train accuracy: 0.377367 val accuracy: 0.387000\n",
      "lr 1.600000e-07 reg 1.000000e+04 train accuracy: 0.375633 val accuracy: 0.392000\n",
      "lr 1.600000e-07 reg 1.100000e+04 train accuracy: 0.370857 val accuracy: 0.392000\n",
      "lr 1.600000e-07 reg 1.800000e+04 train accuracy: 0.359265 val accuracy: 0.378000\n",
      "lr 1.600000e-07 reg 1.900000e+04 train accuracy: 0.362816 val accuracy: 0.375000\n",
      "lr 1.600000e-07 reg 2.000000e+04 train accuracy: 0.353347 val accuracy: 0.366000\n",
      "lr 1.600000e-07 reg 2.100000e+04 train accuracy: 0.358510 val accuracy: 0.367000\n",
      "best validation accuracy achieved during cross-validation: 0.401000\n"
     ]
    }
   ],
   "source": [
    "# Use the validation set to tune hyperparameters (regularization strength and\n",
    "# learning rate). You should experiment with different ranges for the learning\n",
    "# rates and regularization strengths; if you are careful you should be able to\n",
    "# get a classification accuracy of over 0.35 on the validation set.\n",
    "results = {}\n",
    "best_val = -1\n",
    "best_softmax = None\n",
    "learning_rates = [1.4e-7, 1.5e-7, 1.6e-7]\n",
    "regularization_strengths = [8000.0, 9000.0, 10000.0, 11000.0, 18000.0, 19000.0, 20000.0, 21000.0]\n",
    "\n",
    "for lr in learning_rates:\n",
    "    for reg in regularization_strengths:\n",
    "        softmax = LinearSoftmax()\n",
    "        loss = softmax.train(X_train, y_train, learning_rate=lr, reg=reg, num_iters=5000)\n",
    "        y_train_pred = softmax.predict(X_train)\n",
    "        training_accuracy = np.mean(y_train == y_train_pred)\n",
    "        y_val_pred = softmax.predict(X_val)\n",
    "        val_accuracy = np.mean(y_val == y_val_pred)\n",
    "        if val_accuracy > best_val:\n",
    "            best_val = val_accuracy\n",
    "            best_softmax = softmax\n",
    "        results[(lr, reg)] = training_accuracy, val_accuracy\n",
    "    \n",
    "# Print out results.\n",
    "for lr, reg in sorted(results):\n",
    "    train_accuracy, val_accuracy = results[(lr, reg)]\n",
    "    print('lr %e reg %e train accuracy: %f val accuracy: %f' % (\n",
    "                lr, reg, train_accuracy, val_accuracy))\n",
    "    \n",
    "print('best validation accuracy achieved during cross-validation: %f' % best_val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5IiIiIqWrkEJkKpIGTjPbBvgeMDmxvbsflLmyREREREpLofVapiLMNZy/B34N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\nZpYrF5xmZmZmlisXnGZmZmaWq/8H2WkUX58fae4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb4a62e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the cross-validation results\n",
    "import math\n",
    "x_scatter = [math.log10(x[0]) for x in results]\n",
    "y_scatter = [math.log10(x[1]) for x in results]\n",
    "\n",
    "# plot training accuracy\n",
    "marker_size = 100\n",
    "colors = [results[x][0] for x in results]\n",
    "plt.subplot(2, 1, 1)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 training accuracy')\n",
    "\n",
    "# plot validation accuracy\n",
    "colors = [results[x][1] for x in results] # default size of markers is 20\n",
    "plt.subplot(2, 1, 2)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "softmax on raw pixels final test set accuracy: 0.374000\n"
     ]
    }
   ],
   "source": [
    "# evaluate on test set\n",
    "# Evaluate the best softmax on test set\n",
    "y_test_pred = best_softmax.predict(X_test)\n",
    "test_accuracy = np.mean(y_test == y_test_pred)\n",
    "print('softmax on raw pixels final test set accuracy: %f' % (test_accuracy, ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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I8QZpU5rZyX9s7T0w8SINCwXcY0ol0Xyw94kGVAnbKyXFerDr1vYduM/eSyw9NCB5q+TY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\nyTAAAFsBHG8mkN1+4PQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb4a6a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the learned weights for each class\n",
    "w = best_softmax.W[:-1,:] # strip out the bias\n",
    "w = w.reshape(32, 32, 3, 10)\n",
    "\n",
    "w_min, w_max = np.min(w), np.max(w)\n",
    "\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "for i in range(10):\n",
    "    plt.subplot(2, 5, i + 1)\n",
    "    \n",
    "    # Rescale the weights to be between 0 and 255\n",
    "    wimg = 255.0 * (w[:, :, :, i].squeeze() - w_min) / (w_max - w_min)\n",
    "    plt.imshow(wimg.astype('uint8'))\n",
    "    plt.axis('off')\n",
    "    plt.title(classes[i])"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
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   },
   "outputs": [],
   "source": []
  }
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